title: In silico methods to predict drug toxicity.
abstract: This review describes in silico methods to characterize the toxicity of pharmaceuticals, including tools which predict toxicity endpoints such as genotoxicity or organ-specific models, tools addressing ADME processes, and methods focusing on protein-ligand docking binding. These in silico tools are rapidly evolving. Nowadays, the interest has shifted from classical studies to support toxicity screening of candidates, toward the use of in silico methods to support the expert. These methods, previously considered useful only to provide a rough, initial estimation, currently have attracted interest as they can assist the expert in investigating toxic potential. They provide the expert with safety perspectives and insights within a weight-of-evidence strategy. This represents a shift of the general philosophy of in silico methodology, and it is likely to further evolve especially exploiting links with system biology.
authors.affiliation: IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, 20156 Milano, Italy.
authors.forename: Alessandra
authors.initials: A
authors.lastname: Roncaglioni
authors.forename: Andrey A
authors.initials: AA
authors.lastname: Toropov
authors.forename: Alla P
authors.initials: AP
authors.lastname: Toropova
authors.forename: Emilio
authors.initials: E
authors.lastname: Benfenati
mesh_terms: D003198:Computer Simulation; D004353:Drug Evaluation, Preclinical / Q000379:methods; D064420:Drug-Related Side Effects and Adverse Reactions; D007880:Legislation, Drug; D008954:Models, Biological; D004364:Pharmaceutical Preparations / Q000378:metabolism; D010599:Pharmacokinetics
chemical_list: D004364:Pharmaceutical Preparations